Table 2. Regression parameters corresponding to linear and segmented fits for subthreshold electrophysiological properties of CA1 pyramidal neurons along the V–D axis.
| Linear regression | Segmented regression | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| Breakpoint | Slopes comparison | ||||||||||||
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| Cons. | Slope | Adj. R2 | P-value | Cons. | Slope 1 | Slope 2 | Adj. R2 | P-value | Location | P-value | Diff. | P-value | |
| RMP (mV) | -66.3 | -1.55 | 0.68 | <0.0001 | -63.9 | -0.58 | -1.71 | 0.68 | <0.0001 | -1.99 | 0.033 | 1.12 | 0.12 |
| Rin at RMP (MΩ) | 59.6 | -11.6 | 0.73 | <0.0001 | 52.6 | -15 | -8.5 | 0.745 | <0.0001 | -0.53 | 0.526 | -6.52 | 0.031 |
| Rin at -65mV (MΩ) | 66.2 | -3.1 | 0.09 | 0.0007 | 49.1 | -10.4 | -0.7 | 0.115* | 0.0005 | -1.3 | 0.05 | -9.74 | 0.05 |
| Tau (ms) | 23.9 | -3.15 | 0.38 | <0.0001 | 24.3 | -1.9 | -4 | 0.38 | <0.0001 | 0.79 | 0.77 | 1.61 | 0.5 |
V–D gradients in subthreshold electrophysiological properties of CA1 pyramidal neurons were fitted by linear and segmented regressions. Linear regression had two factors: constant value (Cons.) and slope. Segmented regression had three factors: constant, slope of line one (slope 1) and slope of line two (slope 2). V–D change in a few electrophysiological properties fitted better with segmented regressions than linear regressions
*
significant increase in Adjusted R2